Events / Implementation Science Series featuring Dennis Li, Miriam Rafferty, and JD Smith

Implementation Science Series featuring Dennis Li, Miriam Rafferty, and JD Smith

September 29, 2020
12:00 pm - 1:30 pm

Please join the Center for Prevention Implementation Methodology (CEPIM) for their event “Implementation Research Logic Model: A Method for Planning, Executing, Reporting and Synthesizing Implementation Projects” featuring Miriam Rafferty, JD Smith, and ISGMH faculty member Dennis Li.


The event will take place on Tuesday, September 29 from 12:00-1:30 pm (CT). To attend, please provide your email and become a PSMG member here. You will receive CEPIM’s newsletter with the Zoom link and password for the event.


Background: Numerous models, frameworks, and theories exist for specific aspects of implementation research, including for determinants, strategies, and outcomes. However, implementation research projects often fail to provide a coherent rationale or justification for how these aspects are selected and tested in relation to one another. Despite this need to better specify the conceptual linkages between the core elements involved in projects, few tools or methods have been developed to aid in this task. The Implementation Research Logic Model (IRLM) was created for this purpose and to enhance the rigor and transparency of describing the often-complex processes of improving the adoption of evidence-based practices in healthcare delivery systems.


Methods: The IRLM structure and guiding principles were developed through a series of preliminary activities with multiple investigators representing diverse implementation research projects in terms of contexts, research designs, and implementation strategies being evaluated. The utility of the IRLM was evaluated in the course of a two-day training to over 130 implementation researchers and healthcare delivery system partners.


Results: Preliminary work with the IRLM produced a core structure and multiple variations for common implementation research designs and situations, as well as guiding principles and suggestions for use. Results of the survey indicated high utility of the IRLM for multiple purposes, such as improving rigor and reproducibility of projects; serving as a “roadmap” for how the project is to be carried out; clearly reporting and specifying how the project is to be conducted; and understanding the connections between determinants, strategies, mechanisms, and outcomes for their project.


Conclusions: The IRLM is a semi-structured, principles-guided tool designed to improve the specification, rigor, reproducibility, and testable causal pathways involved in implementation research projects. The IRLM can also aid implementation researchers and implementation partners in the planning and execution of practice change initiatives. Adaptation and refinement of the IRLM is ongoing, as is the development of resources for use and applications to diverse projects, to address the challenges of this complex scientific field. This presentation will cover the primary elements and use of the IRLM, review evidence of its utility, and present multiple completed examples.